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 Series Title: Employment Level: Cuban, Computer and Mathematical Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 9619.
 2012 03 1014·
 2012 02 176·
 2012 01 893·
 2011 12  227·
 2011 11  1216·
 2011 10  5913.
 2011 09  9413.
 2011 08  279·
 2011 07  255.
 2011 06  157.
 2011 05  1117.
 2011 04  6123·
 2011 03  3020·
 2011 02  976·
 2011 01  8211·
 2010 12 03·
 2010 11 3511·
 2010 10 4312·
 2010 09 78
 2010 08 449.
 2010 07 715.
 2010 06 1610·
 2010 05 9213.
 2010 04 1813.
 2010 03 9414·
 2010 02 413·
 2010 01 4510.
 2009 12  7310·
 2009 11  867.
 2009 10  207·
 2009 09  794·
 2009 08  847.
 2009 07  547·
 2009 06  27.
 2009 05  6422.
 2009 04  5223·
 2009 03  3027·
 2009 02  1221.
 2009 01  9410·
 2008 12 27.
 2008 11 703.
 2008 10 394·
 2008 09 898.
 2008 08 8412.
 2008 07 5519·
 2008 06 9515.
 2008 05 9224.
 2008 04 7418·
 2008 03 9318.
 2008 02 1929·
 2008 01 7222.
 2007 12  7225.
 2007 11  1513·
 2007 09  737.
 2007 08  249·
 2007 07  411·
 2007 06  7720.
 2007 05  4518·
 2007 04  6823·
 2007 03  1925·
 2007 02  6211.
 2007 01  4812.
 2006 12 468.
 2006 11 944.
 2006 10 764·
 2006 09 1915.
 2006 08 2818.
 2006 07 2918·
 2006 06 5015.
 2006 05 233.
 2006 04 83·
 2006 03 4811.
 2006 02 418·
 2006 01 468·
 2005 12  612·
 2005 11  38·
 2005 10  327·
 2005 09  215.
 2005 08  6619.
 2005 07  6926·
 2005 06  2823.
 2005 05  2820·
 2005 04  5610.
 2005 03  4611·
 2005 02  6117.
 2005 01  8813·
 2004 12 7114·
 2004 11 609·
 2004 10 87
 2004 09 682·
 2004 08 3013·
 2004 07 6112.
 2004 06 9011.
 2004 05 839·
 2004 04 776.
 2004 03 246.
 2004 02 746.
 2004 01 707.
 2003 12  8110·
 2003 11  5112·
 2003 10  7210·
 2003 09  925.
 2003 08  375.
 2003 07  655.
 2003 06  40
 2003 05  365·
 2003 04  6310·
 2003 03  186.
 2003 02  6011·
 2003 01  1715·
 2002 12 412.
 2002 11 8515·
 2002 10 3921·
 2002 09 709.
 2002 08 299.
 2002 07 664.
 2002 06 86·
 2002 05 617·
 2002 04 32
 2002 03 8711.
 2002 02 255·
 2002 01 755.
 2001 12  327.
 2001 11  998.
 2001 10  698.
 2001 09  278.
 2001 08  737.
 2001 06  765.
 2001 05  498·
 2001 04  549.
 2001 03  242.
 2001 01  184.
 2000 12 967.
 2000 11 193·
 2000 10 803·
 2000 09 526.
 2000 08 663·
 2000 06 104.
 2000 05 604.
 2000 04 284·
 2000 03 416.
 2000 02 408·
 2000 01 7
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: Alternative Measures of Labor Underutilization
Unemployment Rate: Gender
Unemployment Rate: Black: Gender
Unemployment Rate: White: Gender
Unemployment Rate: Race
Unemployment Rate: Age: 16/25/35/45/55
Unemployment Rate: Education
Unemployment Rate: Nonagricultural Industry
Unemployment Rate: Job Category
Median Weeks Unemployed: Age
Median Weeks Unemployed: Race


The US Labor Force Dataset from the BLS contains nearly 15,000 series.
These series are subcategories of the popular series of:

Civilian Labor Force (subcategories)
Employment Level (subcategories)
Unemployment Level (subcategories)
US Unemployment Rate (subcategories)
Population (subcategories)
Employment-Population Ratio (subcategories)
Median Weeks Unemployed (subcategories)
Percent Distribution (subcategories)
Average Hours At Work (subcategories)
Of Total Unemployed (subcategories)

These basic measures are augmented by:

Population
Labor Force Participation Rate
Employment-Population Ratio
Not in Labor Force
Number at work
Average hours at work
Multiple jobholders
Average number of search methods used
Number At work part-time

These series can be subdivided by:

Sex:

Male
Female

Race and Ethnicity:

White
Black
Hispanic
Mexican
Puerto Rican
Cuban

Age:

16 years and over (default)
14_yrs._&_over
16-17_yrs.
16-19_yrs.
16-21_yrs.
16-24_yrs.
18-19_yrs.
20_yrs._&_over
20-24_yrs.
20-64_yrs.
25_yrs._&_over
25-29_yrs.
25-34_yrs.
25-54_yrs.
25-59_yrs.
30-34_yrs.
35-39_yrs.
35-44_yrs.
40-44_yrs.
45_yrs._&_over
45-49_yrs.
45-54_yrs.
50-54_yrs.
55_yrs._&_over
55-59_yrs.
55-64_yrs.
60-61_yrs.
60-64_yrs.
62-64_yrs.
65_yrs._&_over
65-69_yrs.
70_yrs._&_over

Class Of Worker:

Wage_And_Salary_Workers
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers

Industry:

Agriculture_Service
Furniture_And_Fixtures
Motor_Vehicles_&_Motor_Vehicle_Equipment
Aircraft
Tobacco
Eating_And_Drinking
Private_Households
Hospital
Postal
Federal
State
Local
Goods_Producing
Service_Producing
Agriculture_(Excludes_Forestry_And_Fisheries)
Forestry_And_Fisheries
Nonagricultural
Mining
Construction
Manufacturing
Manufacturing,_Durables
Lumber_And_Wood_Products,_Except_Furniture
Stone,_Clay,_And_Glass_Products
Primary_Metal
Fabricated_Metal
Machinery
Electrical_machinery,_equipment,_&_supplies
Transportation_Equipment
Professional_&_photographic_equipment_&_watches
Other_transportation_equipment
Fabricated_Metals
Manufacturing,_Nondurables
Food_And_Kindred_Products
Textile_Mill_Products
Apparel_And_Other_Fabricated_Textile_Products
Paper_And_Allied_Products
Printing,_Publishing,_And_Allied_Industries
Chemicals_And_Allied_Products
Petroleum_And_Coal_Products
Rubber_And_Miscellaneous_Plastic_Products
Leather_And_Leather_Products
Transportation,_Communication,_And_Other_Public_Utilities
Transportation
Transportation_Other_Than_Railroad_And_Railway_Express
Communications_And_Other_Public_Utilities
Communications
Trade
Wholesale_Trade
Retail_Trade
Service_Industries
Finance,_Insurance,_And_Real_Estate
Insurance_And_Real_Estate
Banking_And_Other_Financial_Organizations
Business_And_Repair_Services
Businesses
Repair_Services
Personal_Services
Entertainment_And_Recreation_Services
Professional_And_Related_Services
Medical
Educational_Services
Welfare_And_Religious_Services
Public_Administration

Occupation:

Managerial_&_professional_specialty_occupation
Executive,_administration,_&_managerial
Officials_&_administration,_public_administation
Management_Related_Occupations
Professional_Specialty_Occupations
Engineers
Math_&_Computer_Scientists
Natural_scientists
Health_Diagnosing_Occupations
Health_Assessment_&_Treating
Teachers,_college_&_university
Lawyers_&_Judges
Technical,_sales,_administration_support
Technicians_&_related_support_occupations
Health_technologists_&_technicians
Engineering_&_science_technicians
Technicians
Sales_Occupations
Supervisors_&_Proprietors
Sales_reps,_finance_&_business_services
Sales_reps,_commodities
Sales,_retail_&_personal
Sales_Related_Occupations
Administrative_support
Supervisors
Computer_Equipment_Operators
Secretaries,_stenographers,_&_typists
Financial_Records_Processing
Mail_&_Message_Distributing
Service_Occupation
Private_Household
Protective_Services
Food_Service
Health_Service
Cleaning_&_Building_Service
Personal_Service
Precision_Production,_Craft,_Repair
Mechanics_&_Repairers
Construction_Trades
Operators,_Fabricators,_Laborers
Machine_operators,_assemblers,_inspectors
Operators_&_tenders
Fabricators,_assemblers,_inspectors,_samplers
Transportation,_material_moving
Motor_vehicle_operators
Handlers,_equipment_cleaners,_helpers,_laborers
Construction_Laborers
Freight,_stock_material_handlers
Farming,_Forestry,_Fishing
Farm_Operators_&_Managers
Farm_workers_&_related_occupations
Forestry_&_fishing_occupations

Input your search text below.
or alter the examples after this blank template.







      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Employment Level: Cuban, Computer and Mathematical Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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